This project demonstrates edge-based motor anomaly detection using TinyML on the ESP32. We trained an autoencoder on real-world motor sensor data and deployed it to an ESP32 microcontroller for ...
Abstract: Tiny machine learning (TinyML) is a promising approach to enable intelligent applications relying on Human Activity Recognition (HAR) on resource-limited and low-power Internet of Things ...
MediSense is an IoT-based smart medication adherence system designed to support elderly patients and caregivers through wearable sensing, gesture recognition, and smart pillbox monitoring. The system ...
Abstract: This paper explores the potential of Tiny Machine Learning (TinyML) for privacy-preserving building energy management systems on mobile devices. While TinyML offers reduced latency and ...
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